Evidence map›Paper›PMID 28615715›Full record

ArticleScientific reports2017

RNAseq based transcriptomics study of SMCs from carotid atherosclerotic plaque: BMP2 and IDs proteins are crucial regulators of plaque stability.

Iraide Alloza, Haize Goikuria, Juan Luis Idro, Juan Carlos Triviño, José María Fernández Velasco, Elena Elizagaray, María García-Barcina, Genoveva Montoya-Murillo, Esther Sarasola, Reyes Vega Manrique and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 25 citations in OpenAlex.

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  13. International journal of molecular sciences · 2020
    Article
  14. Article
  15. Vascular smooth muscle cells in atherosclerosis.Nature reviews. Cardiology · 2019
    Review
  16. Transcriptomics of Human Arteriovenous Fistula Failure: Genes Associated With Nonmaturation.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2019
    Article
  17. Article
  18. Endothelial prostaglandin DJournal of the renin-angiotensin-aldosterone system : JRAAS
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 1 country.

Iraide AllozaNeurogenomiks, Neuroscience Department, Faculty of Medicine and Odontology, Basque Country University, Leioa, Spain. iraide.alloza@ehu.eus.
Haize GoikuriaNeurogenomiks, Neuroscience Department, Faculty of Medicine and Odontology, Basque Country University, Leioa, Spain.
Juan Luis IdroNeurology Unit, Basurto University Hospital (Osakidetza/Basque Health Service), Bilbao, Spain.
Juan Carlos TriviñoSistemas Genómicos, Valencia, Spain.
José María Fernández VelascoNeurology Unit, Basurto University Hospital (Osakidetza/Basque Health Service), Bilbao, Spain.
Elena ElizagarayRadiodiagnostic Unit, Basurto University Hospital (Osakidetza/Basque Health Service), Bilbao, Spain.
María García-BarcinaClinical Genetics Unit, Basurto University Hospital (Osakidetza/Basque Health Service), Bilbao, Spain.
Genoveva Montoya-MurilloDepartment of Methods and Experimental Psychology, Faculty of Psychology and Education, Deusto University, Bilbao, Spain.
Esther SarasolaClinical Genetics Unit, Basurto University Hospital (Osakidetza/Basque Health Service), Bilbao, Spain.
Reyes Vega ManriqueVascular Surgery and Angiology Unit, Basurto University Hospital (Osakidetza/Basque Health Service), Bilbao, Spain.
Maria Del Mar FreijoNeurology Unit, Basurto University Hospital (Osakidetza/Basque Health Service), Bilbao, Spain.
Koen VandenbroeckNeurogenomiks, Neuroscience Department, Faculty of Medicine and Odontology, Basque Country University, Leioa, Spain.
Osakidetza · ESHospital de Basurto · ESUniversity of the Basque Country · ESAchucarro Basque Center for Neuroscience · ESSistemas Genómicos · ESUniversidad de Deusto · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carotid artery atherosclerosis is a risk factor to develop cerebrovascular disease. Atheroma plaque can become instable and provoke a cerebrovascular event or else remain stable as asymptomatic type. The exact mechanism involved in plaque destabilization is not known but includes among other events smooth muscle cell (SMC) differentiation. The goal of this study was to perform thorough analysis of gene expression differences in SMCs isolated from carotid symptomatic versus asymptomatic plaques. Comparative transcriptomics analysis of SMCs based on RNAseq technology identified 67 significant differentially expressed genes and 143 significant differentially expressed isoforms in symptomatic SMCs compared with asymptomatic. 37 of top-scoring genes were further validated by digital PCR. Enrichment and network analysis shows that the gene expression pattern of SMCs from stable asymptomatic plaques is suggestive for an osteogenic phenotype, while that of SMCs from unstable symptomatic plaque correlates with a senescence-like phenotype. Osteogenic-like phenotype SMCs may positively affect carotid atheroma plaque through participation in plaque stabilization via bone formation processes. On the other hand, plaques containing senescence-like phenotype SMCs may be more prone to rupture. Our results substantiate an important role of SMCs in carotid atheroma plaque disruption.

Indexed as

TranscriptomeAgedBiomarkersBone Morphogenetic Protein 2Carotid Artery DiseasesCells, CulturedComputational BiologyFemaleGene Expression ProfilingGene OntologyHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMolecular Sequence AnnotationMyocytes, Smooth MuscleBiomarkersBMP2 protein, humanBone Morphogenetic Protein 2

Identifiers

PMID28615715
PMCPMC5471186
OpenAlexW2623739916

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.